我在執(zhí)行Spark應(yīng)用程序時(shí)遇到問題。源代碼：// Read table From HDFSval productInformation = spark.table("temp.temp_table1")val dict = spark.table("temp.temp_table2")// Custom UDFval countPositiveSimilarity = udf[Long, Seq[String], Seq[String]]((a, b) =>     dict.filter(        (($"first".isin(a: _*) && $"second".isin(b: _*)) || ($"first".isin(b: _*) && $"second".isin(a: _*))) && $"similarity" > 0.7    ).count)val result = productInformation.withColumn("positive_count", countPositiveSimilarity($"title", $"internal_category"))// Error occurs!result.show錯誤信息：org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 54.0 failed 4 times, most recent failure: Lost task 0.3 in stage 54.0 (TID 5887, ip-10-211-220-33.ap-northeast-2.compute.internal, executor 150): org.apache.spark.SparkException: Failed to execute user defined function($anonfun$1: (array<string>, array<string>) => bigint)    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)這是一個(gè)示例代碼，與我的原始代碼相似。示例代碼運(yùn)行良好。我應(yīng)在哪一點(diǎn)檢入原始代碼和數(shù)據(jù)？